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Predicting the Trends of Social Events on Chinese Social Media
Zhou, Yang1,2; Zhang, Lei3; Liu, Xiaoqian1; Zhang, Zhen1; Bai, Shuotian4; Zhu, Tingshao1; Zhu, TS
First AuthorZhou Yang
2017-09-01
Source PublicationCYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING
Correspondent Emailtszhu@psych.ac.cn
ISSN2152-2715
SubtypeReview
Volume20Issue:9Pages:533-539
QuartileQ1
Contribution Rank1
AbstractGrowing interest in social events on social media came along with the rapid development of the Internet. Social events that occur in the "real" world can spread on social media (e.g., Sina Weibo) rapidly, which may trigger severe consequences and thus require the government's timely attention and responses. This article proposes to predict the trends of social events on Sina Weibo, which is currently the most popular social media in China. Based on the theories of social psychology and communication sciences, we extract an unprecedented amount of comprehensive and effective features that relate to the trends of social events on Chinese social media, and we construct the trends of prediction models by using three classical regression algorithms. We found that lasso regression performed better with the precision 0.78 and the recall 0.88. The results of our experiments demonstrated the effectiveness of our proposed approach.
Keywordsocial events social media trend prediction
DOI10.1089/cyber.2017.0142
URL查看原文
Indexed BySSCI
Language英语
Funding OrganizationPioneer Initiative of the Chinese Academy of Sciences, Feature Institutes Program(TSS-2015-06) ; Natural Science Foundation of Hubei Province(2016CFB208)
WOS Research AreaPsychology
WOS SubjectPsychology, Social
WOS IDWOS:000417398700003
WOS HeadingsSocial Sciences
WOS KeywordCOLLECTIVE ACTION ; IDENTIFICATION ; ENGAGE
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/25735
Collection社会与工程心理学研究室
Corresponding AuthorZhu, TS
Affiliation1.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
3.Virginia Tech, Blacksburg, VA USA
4.Hubei Univ Econ, Sch Informat Engn, Wuhan, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Yang,Zhang, Lei,Liu, Xiaoqian,et al. Predicting the Trends of Social Events on Chinese Social Media[J]. CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING,2017,20(9):533-539.
APA Zhou, Yang.,Zhang, Lei.,Liu, Xiaoqian.,Zhang, Zhen.,Bai, Shuotian.,...&Zhu, TS.(2017).Predicting the Trends of Social Events on Chinese Social Media.CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING,20(9),533-539.
MLA Zhou, Yang,et al."Predicting the Trends of Social Events on Chinese Social Media".CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING 20.9(2017):533-539.
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